UWB signal detection based on wavelet packet and FHN model

DOI

10.2991/ijndc.2017.5.2.4How to use a DOI?

Keywords

ultra wideband; signal detection; wavelet packet; FHN; stochastic resonance; piecewise threshold

Abstract

In UWB-IR signal detection, the threshold of signal to noise ratio(SNR) limit the performance of FHN model detection method, from this point, wavelet packet is introduced into FHN model, a novel UWB-IR signal detection method based on wavelet packet and FHN model is proposed, in addition, the disadvantages of traditional single threshold wavelet packet is analyzed, combined with the new piecewise threshold wavelet packet and FHN model to detect UWB-IR signal. Furthermore, the performance of the proposed algorithm is simulated and analyzed. Simulation results shows that the proposed algorithm overcome the SNR threshold of FHN model detection method, the detection performance of FHN model is improved. Therefore, the UWB-IR signal can be detected effectively under strong noise.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Bowen Chen
AU  - Lei Jiang
AU  - Qun Zhang
PY  - 2017
DA  - 2017/04/03
TI  - UWB signal detection based on wavelet packet and FHN model
JO  - International Journal of Networked and Distributed Computing
SP  - 93
EP  - 100
VL  - 5
IS  - 2
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2017.5.2.4
DO  - 10.2991/ijndc.2017.5.2.4
ID  - Chen2017
ER  -